Ignite Creation Date:
2024-05-06 @ 5:28 PM
Last Modification Date:
2024-10-26 @ 2:29 PM
Study NCT ID:
NCT05317286
Status:
COMPLETED
Last Update Posted:
2024-03-12
First Post:
2022-03-22
Brief Title:
LVEF Prediction During ACS Using AI Algorithm Applied on Coronary Angiogram Videos
Sponsor:
Montreal Heart Institute
Organization:
Montreal Heart Institute
Study Overview
Official Title:
Prospective Validation of a Deep Learning Algorithm for Prediction of the Left Ventricular Ejection Fraction From Coronary Angiogram Videos in Patients With Acute Coronary Syndrome
Status:
COMPLETED
Status Verified Date:
2024-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
CathEF
Brief Summary:
Left ventricular ejection fraction LVEF is one of the strongest predictors of mortality and morbidity in patients with acute coronary syndrome ACS Transthoracic echocardiography TTE remains the gold standard for LVEF measurement Currently LVEF can be estimated at the time of the coronary angiogram but requires a ventriculography This latter is performed at the price of an increased amount of contrast media injected and puts the patients at risk for mechanical complications ventricular arrhythmia or atrio-ventricular blocks Artificial intelligence AI has previously been shown to be an accurate method for determining LVEF using different data sources Fur the purpose of this study we aim at validating prospectively an AI algorithm called CathEF for the prediction of real-time LVEF AI-LVEF compared to TTE-LVEF and ventriculography in patients undergoing coronary angiogram for ACS
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None